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1)  cut-based recursive decomposition algorithm
改进最小割递推分解算法
1.
Also the above technologies are introduced into path-based recursive decomposition algorithm(PRDA) and cut-based recursive decomposition algorithm(CRDA) to reduce the complexity of the subgraphs decomposed by two algorithms.
根据生命线工程网络的特点,介绍了串联边缩减、并联边缩减和源点合并这三种有效的网络缩减规则,并将这些网络缩减规则引入到改进最小路递推分解算法和改进最小割递推分解算法之中,大大简化了上述算法分解出来的子网,减少了网络可靠度分析的复杂程度。
2)  path-based recursive decomposition algorithm
改进最小路递推分解算法
1.
Also the above technologies are introduced into path-based recursive decomposition algorithm(PRDA) and cut-based recursive decomposition algorithm(CRDA) to reduce the complexity of the subgraphs decomposed by two algorithms.
根据生命线工程网络的特点,介绍了串联边缩减、并联边缩减和源点合并这三种有效的网络缩减规则,并将这些网络缩减规则引入到改进最小路递推分解算法和改进最小割递推分解算法之中,大大简化了上述算法分解出来的子网,减少了网络可靠度分析的复杂程度。
3)  improved RLS
改进最小二乘递推算法
4)  modified recursive decomposition algorithm
改进递推分解算法
5)  Inverse QR-Decomposition Recursive Least Squares Algorithm
逆QR分解递推最小二乘算法
6)  modified recursive extended least squares method
改进的递推增广最小二乘法
1.
Based on the obtained white noise estimates by fitting the higher order autoregressive (AR) model by using the recursive least squares (RLS) method, a modified recursive extended least squares method for parameter estimation of autoregressive moving average models (ARMA) is presented.
基于用递推最小二乘(RLS)法拟合高阶自回归(AR)模型得到的白噪声估值,提出了自回归滑动平均(ARMA)模型参数估计的一种改进的递推增广最小二乘法。
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